| /* |
| * Copyright (c) 2023 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" |
| |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/datasets/dynamic_fusion/PoolingLayerDataset.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(CL) |
| TEST_SUITE(DYNAMIC_FUSION) |
| TEST_SUITE(POOL2D) |
| |
| constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ |
| constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ |
| |
| const auto PoolingLayerDatasetFP = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })), |
| framework::dataset::make("Pad", { Padding2D() })), |
| framework::dataset::make("Stride", { Size2D(1, 1), Size2D(2, 1), Size2D(5, 7) })), |
| framework::dataset::make("ExcludePadding", { true })); |
| |
| const auto pool_fp_mixed_precision_dataset = framework::dataset::make("FpMixedPrecision", { true, false }); |
| |
| template <typename T> |
| using DynamicFusionGpuPool2dFixture = DynamicFusionGpuPool2dValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| |
| template <typename T> |
| using DFSpecialGpuPool2dFixture = DynamicFusionGpuPool2dSpecialValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| |
| template <typename T> |
| using DFPoolMixedPrecisionFixture = DynamicFusionGpuPool2dMixedPrecisionValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| // *INDENT-OFF* |
| // clang-format off |
| |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type |
| TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid pad/size combination |
| TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid pad/size combination |
| TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid parameters, unsupported pooling |
| TensorInfo(TensorShape(5U, 15U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid Non-rectangular Global Pooling |
| TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid output Global Pooling |
| TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid - Quantized not supported. |
| TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid global pooling |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F16, DataLayout::NHWC), |
| TensorInfo(TensorShape(2U, 30U, 11U), 1, DataType::F32, DataLayout::NHWC), |
| TensorInfo(TensorShape(2U, 25U, 16U), 1, DataType::F32, DataLayout::NHWC), |
| TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), |
| TensorInfo(TensorShape(5U, 1U, 1U), 1, DataType::F32, DataLayout::NHWC), |
| TensorInfo(TensorShape(5U, 2U, 2U), 1, DataType::F32, DataLayout::NHWC), |
| TensorInfo(TensorShape(5U, 12U, 12U), 1, DataType::QASYMM8, DataLayout::NHWC), |
| TensorInfo(TensorShape(5U, 1U, 1U), 1, DataType::F32, DataLayout::NHWC), |
| TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, DataLayout::NHWC), |
| })), |
| framework::dataset::make("Pool2dAttributes", { |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(3,3)).pad(Padding2D(0,0,0,0)).stride(Size2D(1,1)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D(2,2,0,0)).stride(Size2D(1,1)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D(0,0,2,2)).stride(Size2D(1,1)), |
| Pool2dAttributes().pool_type(PoolingType::L2).pool_size(Size2D(3,3)).pad(Padding2D(0,0,0,0)).stride(Size2D(1,1)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(15U, 13U)), |
| Pool2dAttributes().pool_type(PoolingType::MAX).pool_size(Size2D(13U, 13U)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D()).stride(Size2D(1,1)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)), |
| Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, true, false, false, true, false })), |
| input_info, output_info, pool2d_attr, expected) |
| { |
| // Create a new workload sketch |
| auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; |
| GpuWorkloadSketch sketch{ &gpu_ctx }; |
| |
| // Declare GpuPool2d settings |
| const GpuPool2dSettings &settings = GpuPool2dSettings().mixed_precision(false); |
| |
| // Validate Pool2d Configuration |
| auto src_info = sketch.create_tensor_info(input_info); |
| auto dst_info = sketch.create_tensor_info(output_info); |
| bool res = bool(GpuPool2d::validate_op(sketch, &src_info, &dst_info, pool2d_attr, settings)); |
| ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); |
| } |
| |
| // clang-format on |
| // *INDENT-ON* |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunSpecial, DFSpecialGpuPool2dFixture<float>, framework::DatasetMode::ALL, combine(datasets::PoolingLayerDatasetSpecialDynamicFusion(), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| TEST_SUITE(GlobalPooling) |
| FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U), |
| TensorShape(27U, 13U, 2U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(27, 13) })), |
| framework::dataset::make("Pad", { Padding2D() })), |
| framework::dataset::make("Stride", { Size2D(1, 1) })), |
| framework::dataset::make("ExcludePadding", true)), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U), |
| TensorShape(79U, 37U, 11U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(79, 37) })), |
| framework::dataset::make("Pad", { Padding2D() })), |
| framework::dataset::make("Stride", { Size2D(1, 1) })), |
| framework::dataset::make("ExcludePadding", true)), |
| framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // GlobalPooling |
| TEST_SUITE_END() // FP32 |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, DFPoolMixedPrecisionFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F16)), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, DFPoolMixedPrecisionFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F16)), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| TEST_SUITE(GlobalPooling) |
| FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<half>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U), |
| TensorShape(27U, 13U, 2U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(27, 13) })), |
| framework::dataset::make("Pad", { Padding2D() })), |
| framework::dataset::make("Stride", { Size2D(1, 1) })), |
| framework::dataset::make("ExcludePadding", true)), |
| framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<half>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U), |
| TensorShape(79U, 37U, 11U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(79, 37) })), |
| framework::dataset::make("Pad", { Padding2D() })), |
| framework::dataset::make("Stride", { Size2D(1, 1) })), |
| framework::dataset::make("ExcludePadding", true)), |
| framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // GlobalPooling |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // FLOAT |
| |
| TEST_SUITE_END() // POOL2D |
| TEST_SUITE_END() // DYNAMIC_FUSION |
| TEST_SUITE_END() // CL |
| } |
| } |
| } |